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Jonathan M. Stokes

Researcher at Massachusetts Institute of Technology

Publications -  26
Citations -  2460

Jonathan M. Stokes is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Antibiotics & Medicine. The author has an hindex of 14, co-authored 22 publications receiving 1230 citations. Previous affiliations of Jonathan M. Stokes include Wyss Institute for Biologically Inspired Engineering & Broad Institute.

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A Deep Learning Approach to Antibiotic Discovery

TL;DR: A deep neural network capable of predicting molecules with antibacterial activity is trained and a molecule from the Drug Repurposing Hub-halicin- is discovered that is structurally divergent from conventional antibiotics and displays bactericidal activity against a wide phylogenetic spectrum of pathogens.
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Bacterial Metabolism and Antibiotic Efficacy

TL;DR: This work aims to emphasize the close relationship between bacterial metabolism and antibiotic efficacy as well as propose areas of exploration to develop novel antibiotics that optimally exploit bacterial metabolic networks.
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Pentamidine sensitizes Gram-negative pathogens to antibiotics and overcomes acquired colistin resistance.

TL;DR: An unconventional screening platform designed to enrich for non-lethal, outer-membrane-active compounds with potential as adjuvants for conventional antibiotics is described, identifying the antiprotozoal drug pentamidine6 as an effective perturbant of the Gram-negative outer membrane through its interaction with lipopolysaccharide.
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Overcoming mcr-1 mediated colistin resistance with colistin in combination with other antibiotics.

TL;DR: The use of colistin in combination with antibiotics that are typically active against Gram-positive bacteria poses a viable therapeutic alternative for highly drug-resistant Gram-negative pathogens expressing plasmid-borne mcr-1.
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Bacterial metabolic state more accurately predicts antibiotic lethality than growth rate.

TL;DR: This study provides a cohesive metabolic-dependent basis for antibiotic-mediated cell death, with implications for current treatment strategies and future drug development, and shows that metabolic state and ATP levels are better predictors of antibiotic lethality across diverse bacterial species than growth rate.